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PyNN provides a library of neuron models that have been standardized so as to
give the same results (within certain limits of numerical accuracy) on different
backends. Each model is represented by a “cell type” class.

It is also possible to use simulator-specific neuron models, which we call
“native” cell types. Of course, such models will only work with one specific
backend simulator.

Note

the development version has some support for specifying cell types
using the NineML and NeuroML formats, but this is not yet available
in the current release.